Publications

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Author Title Type [ Year(Desc)]
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2010
de Luis-García, R., and C. Alberola-Lopez, "Tractography clustering for fiber selection in ROI-based diffusion tensor studies", Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE: IEEE, pp. 5665–5668, 2010.
2012
de Luis-García, R., C. Alberola-Lopez, and C-F. Westin, "On the choice of a tensor distance for DTI white matter segmentation", New Developments in the Visualization and Processing of Tensor Fields: Springer Berlin Heidelberg, pp. 283–306, 2012.
2013
Vegas-Sánchez-Ferrero, G., G. Ramos-Llorden, R. de Luis-García, A. Tristán-Vega, and S. Aja-Fernández, "Anisotropic diffusion filtering for correlated multiple-coil MRI", Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE: IEEE, pp. 2956–2959, 2013.
de Luis-García, R., G. Vegas-Sánchez-Ferrero, S. Aja-Fernández, and C. Alberola-Lopez, "Atlas-based segmentation of white matter structures from DTI using tensor invariants and orientation", Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE: IEEE, pp. 503–506, 2013.
de Luis-García, R., C-F. Westin, and C. Alberola-Lopez, "Geometrical constraints for robust tractography selection", NeuroImage, vol. 81: Academic Press, pp. 26–48, 2013.
Aja-Fernández, S., G. Vegas-Sánchez-Ferrero, R. de Luis-García, and A. Tristán-Vega, "Noise estimation in magnetic resonance SENSE reconstructed data", Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE: IEEE, pp. 1104–1107, 2013.
Aja-Fernández, S., R. de Luis-García, C. Alberola-Lopez, and D. Hernando, "Quantitative Diffusion MRI in the Presence of Noise: Effects of Filtering and Fitting Technique", Quantitative Medical Imaging: Optical Society of America, pp. QTu2G–2, 2013.
Aja-Fernández, S., L. Cordero-Grande, G. Vegas-Sánchez-Ferrero, R. de Luis-García, and C. Alberola-Lopez, "Robust estimation of MRI myocardial perfusion parameters", Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE: IEEE, pp. 4382–4385, 2013.
2018
Peña-Nogales, Ó., T. Michael Ellmore, R. de Luis-García, J. Suescun, M. Caryn Schiess, and L. Giancardo, "Longitudinal Connectomes as a Candidate Progression Marker for Prodromal Parkinson's Disease", Frontiers in Neuroscience, vol. 12, pp. 967, 2018.
Martín-González, E., R. de Luis-García, P. Casaseca-de-la-Higuera, J. R. Garmendia-Leiza, J. Maria Andres-de-Llano, and C. Alberola-López, "Mapping Raw Acceleration Data on ActiGraph Counts: A Machine Learning Approach", Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality, New York, NY, USA, ACM, 2018.
Peña-Nogales, Ó., Y. Zhang, R. de Luis-García, S. Aja-Fernández, J. H. Holmes, and D. Hernando, "Optimal Diffusion-weighting Gradient Waveform Design (ODGD): Formulation and Experimental Validation", International Society of Magnetic Resonance in Medicine 26th Annual Meeting and Exhibition, Paris, France, pp. 685, 2018.
Peña-Nogales, Ó., Y. Zhang, X. Wang, R. de Luis-García, S. Aja-Fernández, J. H. Holmes, and D. Hernando, "Optimized Diffusion-Weighting Gradient Waveform Design (ODGD) formulation for motion compensation and concomitant gradient nulling", Magnetic resonance in medicine, 2018.
Aja-Fernández, S., A. Tristán-Vega, M. Molendowska, T. Pieciak, and R. de Luis-García, "Return-to-the-origin probability calculation in single shell acquisitions", International Society of Magnetic Resonance in Medicine 26th Annual Meeting and Exhibition, Paris, France, pp. 1414, 2018.

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